Evidence map›Paper›PMID 40150159›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

A Cross-Temporal Meta-Analysis of Changes in Tourists' Well-Being in China 2011-2022.

Wei Zheng, Zhaoxiang Ba, Chunfeng Long

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wei ZhengDepartment of Tourism, Fudan University, Shanghai 200433, China.
Zhaoxiang BaDepartment of Tourism, Fudan University, Shanghai 200433, China.
Chunfeng LongSchool of Business Administration, Chongqing Technology and Business University, Chongqing 400067, China.ORCID 0000-0001-6170-2258

Funding

Humanities and Social Sciences project of Chongqing Education Commission 21SKGH109the Youth Fund Project of Humanities and Social Science Research plan of the Ministry of Education 20YJC790091
6 · The paper itself

Abstract

Analyzing the overall trend of changes in the well-being of Chinese tourists and its relationship with societal transformations is essential for understanding the psychological shifts of these tourists. This study utilizes cross-temporal meta-analysis and a time-lagged approach to examine 56 studies employing the General Well-Being Scale as the principal tool for evaluating the well-being of Chinese tourists from 2011 to 2022, with the objective of ascertaining whether trends in well-being levels among Chinese tourists and their macro-social indicators clarify discrepancies in tourists' well-being. The results demonstrate a strong positive link between the well-being of Chinese tourists and the year, signifying an annual increase. The well-being of Chinese tourists is markedly positively associated with economic conditions (per capita income and consumption levels) and social connectedness (urbanization rate, employment rate, and life expectancy); these five social indicators are essential determinants of its variations. This study contributes by elucidating the trend of well-being among Chinese tourists at the group level and confirming that five categories of social variables significantly influence their well-being. It can aid destinations in enhancing relevant social and economic policies, inventing tourism products, and accelerating the development of the tourism industry, thereby substantially boosting the well-being of Chinese tourists.

Indexed as

cross-temporal meta-analysisGeneral Well-Being Scalesocial changetourists’ well-being

Identifiers

PMID40150159
PMCPMC11939689

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.